@inproceedings{80b9f7741b734ca0b0b1c2a987a349d4,
title = "Relative Entropy based Lithium-ion Battery Pack Short Circuit Detection for Electric Vehicle",
abstract = "The thermal runaway of an electric vehicle (EV) battery can cause severe loss of property and human life. A cell short circuit can lead to thermal runaway in a minutes. Therefore, battery short circuit detection systems are important for prevention and limitation of EV fire incidents. This paper proposes a short circuit detection and isolation method for lithium-ion battery packs based on relative entropy. The proposed data-driven method can identify the voltage drop behavior caused by the short circuit. It is verified using real-world data measured from electric vehicles which experienced thermal runaway causing a fire incident. The relative entropy method can recognize the data pattern in real time and give a short circuit alarm to the driver.",
keywords = "electric vehicles, fault diagnosis, relative entropy",
author = "Zhenyu Sun and Zhenpo Wang and Peng Liu and Zhaosheng Zhang and Shuo Wang and Dorrell, {David G.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",
year = "2020",
month = oct,
day = "11",
doi = "10.1109/ECCE44975.2020.9235755",
language = "English",
series = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5061--5067",
booktitle = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",
address = "United States",
}
